Zemits Veraface Skin Analysis

The Zemits VeraFace AI Skin Analysis System is a diagnostic tool that eliminates guesswork from clinical treatment planning by replacing subjective visual inspections with objective, multi-spectral data. Operating on an advanced platform with a high-definition imaging core, it scans and evaluates 12 critical dermal parameters in just 15 seconds.

By mapping subsurface damage before it surfaces, the Zemits VeraFace empowers practitioners to confidently design corrective treatment protocols aimed directly at the underlying root causes of complex skin conditions.

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Why VeraFace Beats Manual Visual Inspection?

• Subsurface Pathology Detection: Manual checks with a magnifying lamp only reveal surface-level issues. The VeraFace uses triple-spectrum imaging (RGB, UV, and Polarised Light/PL) to map hidden vascular inflammation, deep-tissue sun damage, and sluggish cellular metabolism.

• Elimination of Subjective Errors: Skin evaluation is no longer dependent on lighting or practitioner bias. The system delivers standardized metrics, creating an indisputable baseline to track real progression over time.

• 3 to 5 Year Aging Simulation: The integrated AI forecasting tool simulates future skin degradation (wrinkle progression, bacterial spread, and hyperpigmentation) if left untreated. This provides concrete visual evidence that can be used to plan treatment and measure progress.

Full Diagnostic Capabilities (The 12-Factor Profile): 

The device scans and quantifies the following parameters to provide an accurate overview of the skin health:

Pores: This measurement represents current big pores on surface skin which is bigger than normal range of pore size 0.02-0.05 mm. Pores sizes bigger than 0.05mm are visible with naked eye and skin with larger pore sizes appears too texturally irregular. Enlarged pores can create problems like collecting oil, dead skin and debris in them. Objective for a perfect looking smooth skin is to reduce the size of pores and minimise the number of large pores on the facial skin.

Spots: This test represents presence and number of light and dark spots. Light spots are due to the sub-epidermal melanin developing underneath the skin and dark sports are the visible surface hyperpigmentation, sun damage, and age spots.

Wrinkles: This test represents the current wrinkle condition as well as the area that is not smooth and not flat, the higher percentage score of this measurement shows lesser condition related to wrinkles.

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Texture (PL Imaging): This test uses advanced cross polarised light (PL) which eliminates the glare and helps to look deeper into the structural surface of the skin. This test identifies the early signs of dehydration, fine lines, wrinkles, uneven textures and structural inconsistencies.

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Porphyrins (Sebum): This test uses UV wavelengths to identify the presence of acne-causing bacteria and localized sebum blockages. High porphyrin counts are directly linked to high bacterial colonisation and sebum (oil) buildup. This allows skincare experts to predict exactly where future inflammation and breakouts are likely to occur before they surface on the skin.

Pigmentation: Evaluates the depth and boundaries of superficial dark spots on the top layer of the skin. This test also predicts future surface spots and the spots that are already on the surface of the skin that needs attention.

UV Moisture: This test measures the current hydration level and moisture retention within the deeper layers of the facial skin. Instead of evaluating superficial, temporary wetness on the surface, the device utilizes targeted UV spectral analysis to capture how well the deeper tissue holds onto water content. This parameter affects several other skin conditions.

For example, a lower moisture score means skin produces excessive sebum to compensate for the missing skin moisture. Excessive sebum creates its own problems to increase the chances of clogged pores.

UV Damage: Exposes hidden sun damage and pre-symptomatic brown spots sitting in deeper tissue. The UV Damage metric uses deep ultraviolet light spectral imaging to record subsurface pigment changes, deep melanin clustering, and structural stratum corneum injuries that are completely invisible to the naked eye.

Brown Areas: This test represents skin metabolism condition, for some people they need longer time to recover from therapy like laser treatment, because their skin metabolism is not good, from the brown spot we can see those areas. A poor brown area score means skin cells takes longer to regenerate. Our therapists will be able to customise the treatment protocols based on your brown area score to kickstart and accelerate the cellular repair.

Sensitive Area: This test uses the polarised light imaging to isolate the red spectrum changes and detects hidden inflammation and weakened capillary walls underneath the sublayers of the skin.

By mapping these hidden inflammatory hotspots, the system allows our therapists to treat a client’s skin preventatively. Preventing temporary irritation from developing into permanent structural issues like chronic rosacea, telangiectasia (broken capillaries), or a destroyed skin barrier.

Skin Aging: The skin aging parameter provides a visual and data-driven projection of how your face will change over time. The system makes this skin aging prediction over a period of 3 to 5 years into the future. The AI-driven analyser utilises RGB, UV, and polarised light spectral imaging to evaluate your skin from top down to the bottom layer. It considers all the above parameters that needs attention and make predictions as to how the skin aging will progress.

Skin Conditioning:  Similar to the skin aging analysis a second prediction skin analyser makes is how the skin will continue to be conditioned and how it may look like in 3-5 years’ time frame, if the results of the skin analysis that needs attention are addressed with skin care at home and treatment protocols in the salon.

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To make these predictions, the system utilises its baseline metrics like moisture, sebum, and bacterial porphyrins to run an AI simulation of how these variables will compound over the next 3 to 5 years.